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SICS Software-Intensive Cyber-Physical Systems

Quantum humanities: a vision for quantum computing in digital humanities

Johanna Barzen, Frank Leymann

Published Aug 26, 2019• 16 citations
Publisher
DOI
10.1007/s00450-019-00419-4

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The benefits of using classical computers in the humanities has been proven by the establishment of the digital humanities. Recently, quantum computers reached a state in which advantages can be realized in certain use cases. E.g., initial feasibility studies in the humanities have shown that some advantages can already be achieved, and much more can be expected, especially in applying quantum machine learning. But building quantum applications requires a deep understanding of mathematics, quantum algorithms and programming that cannot be expected by humanists. Consequently, they cannot explore potentially promising applications or apply concrete potentials of quantum algorithms. The proposed architecture and method aim at exactly this, enabling (digital) humanists to easily build their own quantum applications in the focus area of quantum machine learning to allow a broad use and critical evaluation of the potentials of quantum algorithms for humanities research.
In human eyes, retina cells have shown complicated, sophisticated structures, and thus capability of carrying out certain basic visual functions. In computer vision, a spherical model has been proposed to demonstrate that certain basic visual functions can be performed at the sensor/photoreceptor level for target recognition, mobile robotic control, and other applications. This paper will establish that low level computer vision in this spherical model exhibits a Hamiltonian model of quantum computation. This results will be important to the understanding of human vision as well as the development of intelligent visual sensor chips and devices in electronics and optics.